#R Markdown
This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.
When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
You can also embed plots, for example:
Note that the echo = FALSE parameter was added to the
code chunk to prevent printing of the R code that generated the
plot.
print("hello")
## [1] "hello"
print("Hii i'm Darshan")
## [1] "Hii i'm Darshan"
## Loading required package: ggplot2
##
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
##
## last_plot
## The following object is masked from 'package:stats':
##
## filter
## The following object is masked from 'package:graphics':
##
## layout
## Loading required package: zoo
##
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ lubridate 1.9.4 ✔ tibble 3.2.1
## ✔ purrr 1.0.4 ✔ tidyr 1.3.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks plotly::filter(), stats::filter()
## ✖ dplyr::first() masks xts::first()
## ✖ dplyr::lag() masks stats::lag()
## ✖ dplyr::last() masks xts::last()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
## Rows: 29531 Columns: 16
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): City, AQI_Bucket
## dbl (13): PM2.5, PM10, NO, NO2, NOx, NH3, CO, SO2, O3, Benzene, Toluene, Xy...
## date (1): Date
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
## 1974 2134 1863 1877 1877 1492 1249 1280 1131 1209 1492 1621 1846
## 1975 2103 2137 2153 1833 1403 1288 1186 1133 1053 1347 1545 2066
## 1976 2020 2750 2283 1479 1189 1160 1113 970 999 1208 1467 2059
## 1977 2240 1634 1722 1801 1246 1162 1087 1013 959 1179 1229 1655
## 1978 2019 2284 1942 1423 1340 1187 1098 1004 970 1140 1110 1812
## 1979 2263 1820 1846 1531 1215 1075 1056 975 940 1081 1294 1341
## Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
## 1974 901 689 827 677 522 406 441 393 387 582 578 666
## 1975 830 752 785 664 467 438 421 412 343 440 531 771
## 1976 767 1141 896 532 447 420 376 330 357 445 546 764
## 1977 862 660 663 643 502 392 411 348 387 385 411 638
## 1978 796 853 737 546 530 446 431 362 387 430 425 679
## 1979 821 785 727 612 478 429 405 379 393 411 487 574
## Rows: 29531 Columns: 16
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): City, AQI_Bucket
## dbl (13): PM2.5, PM10, NO, NO2, NOx, NH3, CO, SO2, O3, Benzene, Toluene, Xy...
## date (1): Date
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.